LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION
P. Raviraj Mane. Circuits and Systems: An International Journal (CSIJ), 1 (2):
23-31(April 2014)
Abstract
Face detection and recognition is a challenging problem in the field of image processing. In this paper, we reviewed some of the recent research works on face recognition. Issues with the previous face recognition
techniques are , time required is more for face recognition , recognition rate and database required to store the data . To overcome these problems sparse representation based classifier technique can be used .
%0 Journal Article
%1 noauthororeditor
%A Raviraj Mane, Poorva Agrawal
%D 2014
%J Circuits and Systems: An International Journal (CSIJ)
%K attacks cognitive fpga fpga. k-type
%N 2
%P 23-31
%T LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION
%U http://airccse.com/csij/papers/1214csij03.pdf
%V 1
%X Face detection and recognition is a challenging problem in the field of image processing. In this paper, we reviewed some of the recent research works on face recognition. Issues with the previous face recognition
techniques are , time required is more for face recognition , recognition rate and database required to store the data . To overcome these problems sparse representation based classifier technique can be used .
@article{noauthororeditor,
abstract = {Face detection and recognition is a challenging problem in the field of image processing. In this paper, we reviewed some of the recent research works on face recognition. Issues with the previous face recognition
techniques are , time required is more for face recognition , recognition rate and database required to store the data . To overcome these problems sparse representation based classifier technique can be used .},
added-at = {2018-06-21T11:33:56.000+0200},
author = {Raviraj Mane, Poorva Agrawal},
biburl = {https://www.bibsonomy.org/bibtex/25714833be5cabbd254fd10238fa6e4df/csijjournal1821},
interhash = {a0916b5f555b7af72505e8a87a532fc6},
intrahash = {5714833be5cabbd254fd10238fa6e4df},
issn = {2349 - 2171},
journal = {Circuits and Systems: An International Journal (CSIJ)},
keywords = {attacks cognitive fpga fpga. k-type},
month = {April},
number = 2,
pages = {23-31},
timestamp = {2018-06-21T11:33:56.000+0200},
title = {LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION},
url = {http://airccse.com/csij/papers/1214csij03.pdf},
volume = 1,
year = 2014
}